Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI and machine learning for predictive modeling and optimization

AI and machine learning for predictive modeling and optimization

Showing 37-48 of 349 articles

Optimizing sparse mixture-of-experts models for energy-efficient AI training and inference

Enhancing neutrino detection sensitivity through rapid prototyping cycles

Optimizing quantum coherence at Josephson junction frequencies for scalable qubit arrays

Closed-loop neuromodulation during deep brain stimulation for essential tremor suppression

Leveraging morphological computation for adaptive robotic locomotion in uneven terrains

Predicting millisecond pulsar intervals using gravitational wave correlations

Synthesizing algebraic geometry with neural networks to optimize topological data analysis

Accelerating digital twin adoption for precision manufacturing with 3-year commercialization paths

Optimizing terahertz oscillation frequencies for non-invasive early-stage cancer detection

Employing neglected mathematical tools for predicting microbiome ecosystem collapses

Accelerating catalyst discovery for green hydrogen production via machine learning algorithms

Uncovering hidden fluid dynamics patterns using neglected mathematical tools from topology